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Machine Learning & Data Scientist(s)



Software Engineering, Data Science
Posted on Monday, July 8, 2024
Mid-level Data Scientist(s) (5-10 years experience)
Support, guide, and execute geospatial data handling, image processing, crop modeling, and ML workflows to generate insights on cropland sustainability.
Prior experience (5-years) in ag-tech industry and/or govt lab.
Knowledge of remote sensing and data science enablers and products such as field boundary, crop residue management, irrigation tracking, soil moisture, seeding practices, and the different modalities, scales, and train / label data requirements.

Our Mission:

  • Agriculture accounts for over 20% of global GHG emissions, and we believe that sustainable agriculture practices, or regenerative agriculture, has the power to reduce these while cooling the earth. Through technology, our goal is to understand the true environmental impact each farmer has on their land, and compensate farmers who change their farming practices to support climate change.

Who We Are:

  • We are a climate-tech startup empowering regenerative agriculture to help reverse climate change! At Mitti Labs, we believe regenerative agriculture is the most scalable & affordable solution to the climate crisis.
  • Starting with Rice, the largest emitter within agriculture, our mission is to support small-holder farmers in transitioning from traditional farming to regenerative techniques with the goal of reducing and capturing GHG emissions.
  • Mitti Labs uses machine learning, satellite imagery, and soil models to track farming practices, estimate GHG emissions, and compensate small-holder farmers for their transition towards more sustainable practices.
  • We’re backed by leading global VCs (Lightspeed India and Voyager Ventures), all of whom passionately believe in our vision to change the world through regenerative agriculture.

What You Will Help Us With:

  • Design and execute algorithms and workflows to characterize agricultural sustainability
  • Pool, manage, QAQC, and blend data streams together from remote sensing, crop models, weather, soils and the field to help track tillage/residue, seeding practices, inundation cycles, and crop rotations
  • Classify small holder field conditions using ML/DL, commercial imagery, drones, and open access remote sensing assets
  • Conduct experiments, track metric accuracy, and improve model robustness
  • Work with crop modelers, engineers, and product to make impactful analytics and drive methodologies

Experience & Skills We're Looking For:

  • Background in Computer Science, Machine Learning, Mathematics, Remote Sensing
  • Proficient (>5yrs) using Python
  • Some combination of experience and/or knowledge of some of the following: PyTorch, STAC, matplotlib/plotly, shapely, NumPy, Pandas, SKlearn, TensorFlow, Docker, MXNet, Rasterio, GDAL, GEE
  • Interest or knowledge of MLOps
  • Experience with model optimization and tuning; ability to communicate outcomes to non-scientists helpful
  • Comfortable managing and manipulating large datasets that contain large images
  • Experience with VertexAI, Weights & Biases a plus


  • This role is fully remote. However, being located in India, and Bangalore region, is preferred / heklpful for this role given the growth of Mitti Labs' program in the region.

Why Work With Us:

  • Be part of the first batch of employees turning Mitti Labs’ goals into reality, and grow with us to make an impact on our planet and the farmers we support. Joining at an early stage of this company will allow you to have unlimited opportunities as we scale our team.